<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210325</CreaDate>
<CreaTime>13425800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210325" Name="Copy Raster" Time="134258" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyRaster">CopyRaster "GEOPHYSICS\Survey Coverage Area\Airborne\Magnetic\KDD_magmicrolevel.tif" C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_KDD_magmicrolevel # 0 -99999 NONE NONE "32 bit float" NONE NONE "TIFF format" NONE CURRENT_SLICE NO_TRANSPOSE</Process>
<Process Date="20210325" Time="150726" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_KDD_magmicrolevel C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\KDD_magmicrolevel RasterDataset</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>3222 Beaufortwest</keyword>
<keyword>KDD</keyword>
<keyword>Geophysics</keyword>
</searchKeys>
<idPurp>Airborne magnetic georeferenced tiff image of the KDD project in the Beaufortwest area.
</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>KDD Magmicrolevel Geophysics 2017</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
